Giuseppe Aceto
Impact in
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Signal Processing top 1%
- Advanced Malware Detection Techniques
Papers in
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- Network Security and Intrusion Detection 37
- Network Traffic and Congestion Control 16
- Software-Defined Networks and 5G 11
- IoT and Edge/Fog Computing 9
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- Internet Traffic Analysis and Secure E-voting 39
- Co-authors
- Antonio PescapèValerio PersicoDomenico CiuonzoAntonio MontieriAlessio BottaWalter de DonatoGiampaolo BovenziAlfredo Nascita
In The Last Decade
Giuseppe Aceto
67 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Networks and Communications 2.4k
- Signal Processing 698
- Artificial Intelligence 1.8k
- Information Systems 949
- Health Informatics 43
Countries citing papers authored by Giuseppe Aceto
This map shows the geographic impact of Giuseppe Aceto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giuseppe Aceto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Aceto more than expected).
Fields of papers citing papers by Giuseppe Aceto
This network shows the impact of papers produced by Giuseppe Aceto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giuseppe Aceto. The network helps show where Giuseppe Aceto may publish in the future.
Co-authors
The 25 scholars most cited alongside Giuseppe Aceto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 31 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 63 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 32 | |
| 10 | 2021 | 139 | |
| 11 | 2021 | 57 | |
| 12 | 2020 | 23 | |
| 13 | Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges Hit paper breakdown → | 2019 | 375 |
| 14 | 2019 | 18 | |
| 15 | 2019 | 15 | |
| 16 | 2018 | 76 | |
| 17 | Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks | 2018 | 6 |
| 18 | 2018 | 17 | |
| 19 | Monitoring Internet Censorship: the case of UBICA | 2014 | 1 |
| 20 | 2010 | 76 |
About Giuseppe Aceto
Giuseppe Aceto is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Health Informatics and Information Systems, having authored 69 papers that have together received 3.9k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (39 papers), Network Security and Intrusion Detection (37 papers), Network Traffic and Congestion Control (16 papers), Advanced Malware Detection Techniques (13 papers), Software-Defined Networks and 5G (11 papers), IoT and Edge/Fog Computing (9 papers), Cloud Computing and Resource Management (6 papers) and Digital and Cyber Forensics (5 papers). The work is most often cited by research in Computer Networks and Communications (2.4k citations), Signal Processing (698 citations), Artificial Intelligence (1.8k citations), Information Systems (949 citations) and Health Informatics (43 citations). Giuseppe Aceto has collaborated with scholars based in Italy, Hungary and Pakistan. Frequent co-authors include Antonio Pescapè, Valerio Persico, Domenico Ciuonzo, Antonio Montieri, Alessio Botta, Walter de Donato, Giampaolo Bovenzi, Alfredo Nascita, Alberto Dainotti and Sándor Molnár. Their work appears in journals such as Computer Networks, Journal of Network and Computer Applications, IEEE Transactions on Network and Service Management, IEEE Communications Surveys & Tutorials and Journal of Industrial Information Integration.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.